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AI Deep Dive

Category: AI/ML

  • Non-Functional Requirements in AI/ML Applications

    Non-Functional Requirements in AI/ML Applications 1. Performance in AI/ML Model Accuracy/Performance Metrics Specify target metrics like precision (minimizing false positives), recall (minimizing false negatives), F1-score (harmonic mean of precision and recall), AUC (Area Under the ROC Curve for binary classification), RMSE (Root Mean Squared Error for regression), and acceptable error rates. Define how these metrics… Read more

  • Detailed Analysis of Blockchain in Google Cloud Platform (GCP)

    Detailed Analysis of Blockchain in GCP Google Cloud Platform (GCP) is increasingly focusing on providing infrastructure and tools to support the development and deployment of blockchain and Web3 applications. While GCP might not have a direct equivalent to AWS Managed Blockchain with built-in managed network creation for Hyperledger Fabric or Ethereum, it offers a robust… Read more

  • Building a Personalized Healthcare Recommendations AI Agent on GCP: A Comprehensive Guide

    Building a Personalized Healthcare Recommendations AI Agent on GCP: A Comprehensive Guide This article provides a detailed guide to building a Personalized Healthcare Recommendations AI Agent on Google Cloud Platform (GCP). We will explore the necessary GCP services, a comprehensive architecture, sample training data, the implementation of model training using Vertex AI, and the creation… Read more

  • Comparing BI Offerings: AWS, Azure, and GCP

    Comparing BI Offerings: AWS, Azure, and GCP Comparing Business Intelligence (BI) Offerings: AWS, Azure, and GCP Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are the leading cloud providers, each offering a comprehensive suite of services for Business Intelligence (BI) and data analytics. While there’s feature overlap, they also have distinct strengths.… Read more

  • Comparing Top 5 New Programming Languages (as of Early 2025)

    Comparing Top 5 New Programming Languages Comparing Top 5 New Programming Languages (as of Late 2024/Early 2025) While identifying the definitive “top 5 new” programming languages is subjective, here’s a comparison of 5 relatively newer languages gaining significant traction and showcasing interesting features: 1. Mojo Originator: Modular Inc. Typing: Statically-typed Compilation: Compiled Key Features: Aims… Read more

  • Robotics and Agentic AI Convergence – More Details

    Robotics and Agentic AI Convergence – More Details The synergy between robotics and agentic AI is creating a new generation of robots with enhanced autonomy, intelligence, and adaptability. This convergence allows robots to move beyond predefined tasks and engage with the world in a more proactive and goal-oriented manner. Key Aspects of the Convergence (Expanded):… Read more

  • The Role of Agentic AI in Warehouse Robotics

    The Role of Agentic AI in Warehouse Robotics Agentic AI represents a significant leap beyond traditional automation in warehouse robotics, empowering robots with greater autonomy and intelligence. How Agentic AI Enhances Warehouse Robotics: Autonomous Decision-Making: Robots can analyze situations and make intelligent decisions independently. Complex Task Execution: Robots can break down and plan the execution… Read more

  • BigBear.ai and Competition

    BigBear.ai and Competition (2025) BigBear.ai (BBAI) is a company operating in the artificial intelligence (AI) space, providing decision intelligence solutions to various sectors, including government and defense, supply chain, and digital identity. As of late April 2025, here’s a look at their competition and overall standing: BigBear.ai’s Focus: Leverages AI and machine learning to analyze… Read more

  • Extending n8n with APIs

    Extending n8n with APIs n8n‘s power lies in its ability to connect and automate workflows across a vast ecosystem of applications and services. A fundamental way to expand n8n’s capabilities beyond its built-in nodes is by leveraging Application Programming Interfaces (APIs). APIs allow n8n to interact with virtually any service that exposes programmatic interfaces, enabling… Read more

  • Leveraging Data Lakehouse for Agentic AI

    Leveraging Data Lakehouse for Agentic AI In 2025, the data lakehouse architecture is proving to be a powerful foundation for developing and deploying sophisticated agentic AI systems. Agentic AI, characterized by its autonomy, proactivity, reasoning capabilities, and ability to interact with the environment, requires a robust and versatile data infrastructure. The data lakehouse, which combines… Read more

  • GPU vs. XPU vs. CPU: A Comparative Analysis

    In the world of computing, the terms CPU (Central Processing Unit) and GPU (Graphics Processing Unit) are commonly understood. However, the term XPU is emerging, representing a broader category of processing units. This analysis compares these three types of processors. 1. Central Processing Unit (CPU) The CPU is the brain of the computer, responsible for… Read more

  • Comparative Analysis: Building Generative AI Applications in AWS, GCP, and Azure

    Generative AI is a rapidly advancing field, and the major cloud providers – Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure – are heavily investing in services and infrastructure to support its development and deployment. This analysis compares their key offerings for building generative AI applications. 1. Foundation Models and Model Hubs… Read more

  • Comparative Analysis: Building AI Applications in AWS, GCP, and Azure

    Building Artificial Intelligence (AI) applications requires robust infrastructure, powerful compute resources, comprehensive toolkits, and scalable services. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure are the leading cloud providers, each offering a rich set of AI and Machine Learning (ML) services. This analysis compares their key offerings and approaches for building AI… Read more

  • Comparative Analysis: Building Serverless Architectures in AWS, GCP, and Azure

    Serverless computing has revolutionized how applications are built and deployed in the cloud, offering benefits like automatic scaling, pay-per-execution pricing, and reduced operational overhead. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure provide comprehensive serverless offerings. This analysis compares their key services and approaches for building serverless architectures. 1. Core Compute Services… Read more

  • Developing Aptitude and Skills for an AI-Focused Tech Career

    A career in Artificial Intelligence is dynamic and rewarding, but requires a specific blend of aptitude and learned skills. This guide outlines key areas to focus on to develop the necessary foundation for success in the AI-driven tech landscape. 1. Strengthen Your Foundational Aptitude While skills can be learned, certain inherent aptitudes can significantly accelerate… Read more

  • The Monolith to Microservices Journey: Empowered by AI

    The transition from a monolithic application architecture to a microservices architecture, offers significant advantages. However, it can also be a complex and resource-intensive undertaking. The integration of Artificial Intelligence (AI) and Machine Learning (ML) offers powerful tools and techniques to streamline, automate, and optimize various stages of this journey, making it more efficient, less risky,… Read more

  • Google BigQuery and Vertex AI Together

    Google BigQuery and Vertex AI are powerful components of Google Cloud‘s AI/ML ecosystem and are designed to work seamlessly together to facilitate the entire machine learning lifecycle. Here’s how they integrate and how you can leverage them together: Key Integration Points and Use Cases: Example Workflow: Code Snippet (Conceptual – Python with Vertex AI SDK… Read more